Next-generation reference intervals for pediatric hematology

• Published in: Clinical chemistry and laboratory medicine Vol. 57; no. 10; pp. 1595 - 1607
• Main Authors: Zierk, Jakob, Hirschmann, Johannes, Toddenroth, Dennis, Arzideh, Farhad, Haeckel, Rainer, Bertram, Alexander, Cario, Holger, Frühwald, Michael C., Groß, Hans-Jürgen, Groening, Arndt, Grützner, Stefanie, Gscheidmeier, Thomas, Hoff, Torsten, Hoffmann, Reinhard, Klauke, Rainer, Krebs, Alexander, Lichtinghagen, Ralf, Mühlenbrock-Lenter, Sabine, Neumann, Michael, Nöllke, Peter, Niemeyer, Charlotte M., Razum, Oliver, Ruf, Hans-Georg, Steigerwald, Udo, Streichert, Thomas, Torge, Antje, Rascher, Wolfgang, Prokosch, Hans-Ulrich, Rauh, Manfred, Metzler, Markus
• Format: Journal Article
• Language: English
• Published: Germany De Gruyter 25.09.2019; Walter De Gruyter & Company
• Subjects: Abnormalities; Adolescent; Adult; Age; Birth; Charts; Child; Child, Preschool; Children; Decision making; Erythrocyte Count; Erythrocyte Indices; Female; Girls; Hematocrit; Hematocrit - methods; Hematocrit - standards; Hematological diseases; Hematology; Hematology - methods; Hematology - standards; Hematopoiesis; Hemoglobin; Hemoglobins - analysis; Humans; Infant; Infant, Newborn; Intervals; Laboratories; laboratory test result display; Laboratory tests; Leukocyte Count; Male; Patients; pediatric reference intervals; Pediatrics; Platelet Count; Reference Values; Representations; Young Adult; pediatric reference intervals; hematology; laboratory test result display
• ISSN: 1434-6621; 1437-4331
• DOI: 10.1515/cclm-2018-1236

Background Interpreting hematology analytes in children is challenging due to the extensive changes in hematopoiesis that accompany physiological development and lead to pronounced sex- and age-specific dynamics. Continuous percentile charts from birth to adulthood allow accurate consideration of these dynamics. However, the ethical and practical challenges unique to pediatric reference intervals have restricted the creation of such percentile charts, and limitations in current approaches to laboratory test result displays restrict their use when guiding clinical decisions. Methods We employed an improved data-driven approach to create percentile charts from laboratory data collected during patient care in 10 German centers (9,576,910 samples from 358,292 patients, 412,905-1,278,987 samples per analyte). We demonstrate visualization of hematology test results using percentile charts and z-scores (www.pedref.org/hematology) and assess the potential of percentiles and z-scores to support diagnosis of different hematological diseases. Results We created percentile charts for hemoglobin, hematocrit, red cell indices, red cell count, red cell distribution width, white cell count and platelet count in girls and boys from birth to 18 years of age. Comparison of pediatricians evaluating complex clinical scenarios using percentile charts versus conventional/tabular representations shows that percentile charts can enhance physician assessment in selected example cases. Age-specific percentiles and z-scores, compared with absolute test results, improve the identification of children with blood count abnormalities and the discrimination between different hematological diseases. Conclusions The provided reference intervals enable precise assessment of pediatric hematology test results. Representation of test results using percentiles and z-scores facilitates their interpretation and demonstrates the potential of digital approaches to improve clinical decision-making.